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AI Makerspace: MCP Event

AI Makerspace: MCP Event

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github.com/AI-Maker-SpaceProductivity6Updated 81w ago
Repository

About AI Makerspace: MCP Event

AI Makerspace: MCP Event is a demonstration project showing how to build an MCP server for web search. It uses the Tavily API and runs over stdio.

Key features

  1. 01Web search with Tavily API
  2. 02stdio transport
  3. 03Python server example

Use cases

  1. 01Demonstrate an MCP web-search server
  2. 02Search the web through an MCP client

MCP support

The server exposes a web_search tool that accepts a query and performs web searches using the Tavily API over stdio.

#mcp#mcp-server#ai-makerspace

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

README image

AI Makerspace: MCP Event

This project is a demonstration of the MCP (Model Context Protocol) server, which utilizes the Tavily API for web search capabilities. The server is designed to run in a standard input/output (stdio) transport mode.

Project Overview

The MCP server is set up to handle web search queries using the Tavily API. It is built with the following key components:

  • TavilyClient: A client for interacting with the Tavily API to perform web searches.

Prerequisites

  • Python 3.13 or higher
  • A valid Tavily API key

Installation

  1. Clone the repository:

    git clone <repository-url>
cd <repository-directory>

  2. Configure environment variables: Copy the .env.sample to .env and add your Tavily API key:

    TAVILY_API_KEY=your_api_key_here

Running the MCP Server

To start the MCP server, you will need to add the following to your MCP Profile in Cursor:

{
    "mcpServers":  {
        "websearch-server": {
            "command" : "uv",
            "args" : ["--directory", "/PATH/TO/REPOSITORY", "run", "server.py"]
        }
    }
}

The server will start and listen for commands via standard input/output.

Usage

The server provides a web_search tool that can be used to search the web for information about a given query. This is achieved by calling the web_search function with the desired query string.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any changes.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.